Development of T cell receptor repertoires during childhood in health and disease

By Emma A., Bunia A., Othilia FS., Tobias C. & Joanna R.

Group 21

Introduction

Based on the article Mitchell et al. (2022)
allele repertoire development during childhood and type 1 diabetes
Two groups of patients, case and control
returns four times for observations

Materials:

1. Data from immunoSEQ ANALYZER

Methods:

1. Base R
1. Tidyverse R
2. PCA analysis
3. MCA analysis

Data Description

Original data (01_dat_load.tsv)

# A tibble: 359 × 2
   sample_name sample_tags                                                      
   <chr>       <chr>                                                            
 1 310183_TCRB 06 Years, 6 Years at visit, Caucasian, Control, Control 022, GAD…
 2 310110_TCRB 0 Years at visit, 09 Months, 6.37808219178082 Years at diagnosis…
 3 310206_TCRB 0 Years at visit, 10 Months, 10.558904109589 Years at diagnosis,…
 4 310288_TCRB 09 Years, 9 Years at visit, 9.56986301369863 Years at diagnosis,…
 5 310271_TCRB 02 Years, 2 Years at visit, 6.87397260273973 Years at diagnosis,…
 6 310244_TCRB 05 Years, 18.0438356164384 Years at diagnosis, 5 Years at visit,…
 7 310137_TCRB 07 Years, 7 Years at visit, Caucasian, Control, Control 014, Fem…
 8 310258_TCRB 12 Years, 12 Years at visit, 12.958904109589 Years at diagnosis,…
 9 310127_TCRB 04 Years, 11.6821917808219 Years at diagnosis, 4 Years at visit,…
10 310300_TCRB 17 Years, 17 Years at visit, 17.7561643835616 Years at diagnosis…
# ℹ 349 more rows

[1] 10

Data Wrangling

Augmented data (03_dat_aug.tsv)

# A tibble: 10 × 24
   sample_name total_templates productive_templates fraction_productive
   <chr>                 <dbl>                <dbl>               <dbl>
 1 310102_TCRB          121173                96410               0.796
 2 310102_TCRB          121173                96410               0.796
 3 310102_TCRB          121173                96410               0.796
 4 310102_TCRB          121173                96410               0.796
 5 310102_TCRB          121173                96410               0.796
 6 310102_TCRB          121173                96410               0.796
 7 310102_TCRB          121173                96410               0.796
 8 310102_TCRB          121173                96410               0.796
 9 310102_TCRB          121173                96410               0.796
10 310102_TCRB          121173                96410               0.796
# ℹ 20 more variables: total_rearrangements <dbl>,
#   productive_rearrangements <dbl>, productive_simpson_clonality <dbl>,
#   max_productive_frequency <dbl>, locus <chr>, sku <chr>, test_name <chr>,
#   case_control <chr>, id <dbl>, timepoint <dbl>, gender <chr>,
#   ethnicity <chr>, race <chr>, age <dbl>, age_diagnosis <dbl>,
#   age_visit <dbl>, antibody <chr>, expression <dbl>, allele <chr>,
#   subtype <chr>

Antibody Expression

Antibody Expression, PCA

HLA Expression

HLA Expression, PCA

Discussion

Discuss the implications of your findings. Interpret the results and relate them to your objectives.

Implications of findings

Patterns seem to exist between the different mean antibody expressions. This suggests the need for PC analysis.
From the PC analysis, two components seem to explain majority of variance in data. These components are used to express the rotation matrix.
From the PCA again, the rotation matrix shows the variance between the variables. Two clusters form between the four variables, each more strong associated with each of the two components.
The HLA analysis suggests alleles of interest, as it indicates dominant subtypes in case subjects, compared to control.
MCA…

Limitations

Missing values for control subjects

Conclusion

Summarize the main points discussed in the presentation. Emphasize the significance of your work and any future directions.

Something …
Something else …
THANK YOU for listening